Vital Concepts Of Data Mining

Data mining is a vast concept. Data warehouse plays key role in it. It determines all factors affecting an enterprise and helps in business decision making.

Data Mining

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What Does ‘Data Warehouse’ Stand For?

A subject-oriented data model of multiple dimensions forSupporting databasesSupporting information process Business and market analysisDecision making process

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What Data Is Asked To Mine?

Data to know the most effective distribution channel Data to seek lower and highest customers’ margin Data of current customers’ count Preferences of the customers Customers’ behaviour Impact of new products’ launch on older products Effect on revenue/ margins Modes of promotions and their impacts

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What Is Subject-Oriented Data Mining?

Consolidated data that helps in-Tailoring simple and concise form of useful dataOrganizing specific subject-based database, as of customers,

products etc.Preparing business models Analyzing the scope and purpose Decision making

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How Data Warehouse Is Integrated?

The data-integration is done using multiple and heterogeneous data sources as-Relational databasesFlat filesOnline transaction records

Check out- If consistency is there in naming conventions If it’s structure is encoded If its features meet the standard

Lastly, it should be converted in users-format. Eminenture.comEminenture.com

3 Models Of Data Warehouse

Enterprise’s data warehouse-Pan organization is explored.Subject-specific data is collected.

Data Mart- It represents corporate data that values to particular group or

users. Its scope is restricted to specific group or independent identity.

Virtual data warehouse- It is a set of drawn-data based on operational databases.Not substantial, except few possible summaries.

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